EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning. Huang, D., Zeng, G., Dai, J., Luo, M., Weng, H., Qing, Y., Cui, H., Guo, Z., & Zhang, J. In ICML, 2025. OpenReview.net.
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Paper bibtex @inproceedings{conf/icml/0005ZDLWQCG025,
added-at = {2025-12-05T00:00:00.000+0100},
author = {Huang, Dong and Zeng, Guangtao and Dai, Jianbo and Luo, Meng and Weng, Han and Qing, Yuhao and Cui, Heming and Guo, Zhijiang and Zhang, Jie},
biburl = {https://www.bibsonomy.org/bibtex/268c7a8df9c89987a0daf8b4714a24ff4/dblp},
booktitle = {ICML},
crossref = {conf/icml/2025},
ee = {https://openreview.net/forum?id=8bgaOg1TlZ},
interhash = {205a7c7ea26eadcee68c8bf3df571457},
intrahash = {68c7a8df9c89987a0daf8b4714a24ff4},
keywords = {dblp},
publisher = {OpenReview.net},
timestamp = {2025-12-08T09:10:01.000+0100},
title = {EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning.},
url = {http://dblp.uni-trier.de/db/conf/icml/icml2025.html#0005ZDLWQCG025},
year = 2025
}
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